Lead Systems Engineer - Data DevOps/MLOps

As a Lead Systems Engineer with Data DevOps/MLOps expertise, you will design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment. You will establish robust cloud-based infrastructure for processing, training, and serving machine learning models, and automate critical workflows including data validation, transformation, and orchestration. Collaboration with cross-functional teams of data scientists and engineers is central to integrating ML solutions into production environments. You will improve model serving, performance monitoring, and reliability in production ecosystems while ensuring data versioning, lineage tracking, and reproducibility across ML experiments. The role also involves identifying opportunities to improve scalability and resilience of infrastructure, enforcing security measures for data compliance, and debugging technical issues in data pipelines and ML deployment workflows.